



'''simple docstring'''






import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase:   Union[str, Any]					=		logging.get_logger(__name__)


lowerCAmelCase:   Dict					=		{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase:   Any					=		{
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

lowerCAmelCase:   Optional[int]					=		{'facebook/blenderbot_small-90M': 5_1_2}
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	set()
  a		:   Any	  =	word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)							)
    a		:   Dict	  =	char

  a		:   int	  =	set(_A							)
  return pairs

class 				a__(   lowerCamelCase__      ):
    lowercase__					=       VOCAB_FILES_NAMES
    lowercase__					=       PRETRAINED_VOCAB_FILES_MAP
    lowercase__					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase__					=       ["""input_ids""", """attention_mask"""]







    def __init__( self					:    Dict		,     __snake_case					:    List[str]		,     __snake_case					:    Dict		,     __snake_case					:    str="__start__"		,     __snake_case					:    List[str]="__end__"		,     __snake_case					:    List[Any]="__unk__"		,     __snake_case					:    Optional[int]="__null__"		,     **__snake_case					:    Optional[int]		,     ):
      super().__init__(unk_token=__snake_case		,     bos_token=__snake_case		,     eos_token=__snake_case		,     pad_token=__snake_case		,     **__snake_case      )

      with open(__snake_case		,     encoding='utf-8'      ) as vocab_handle:
        a		:   Any	  =	json.load(__snake_case      )
      a		:   Any	  =	{v: k for k, v in self.encoder.items()}
      with open(__snake_case		,     encoding='utf-8'      ) as merges_handle:
        a		:   Optional[Any]	  =	merges_handle.read().split('\n'      )[1:-1]
      a		:   int	  =	[tuple(merge.split()      ) for merge in merges]
      a		:   Any	  =	dict(zip(__snake_case		,     range(len(__snake_case      )      )      )      )
      a		:   str	  =	{}







    @property
    def      lowercase_			( self					:    Union[str, Any]      ):
      return len(self.encoder      )







    def      lowercase_			( self					:    Any      ):
      return dict(self.encoder		,     **self.added_tokens_encoder      )







    def      lowercase_			( self					:    str		,     __snake_case					:    str      ):
      if token in self.cache:
        return self.cache[token]
      a		:   List[str]	  =	re.sub('([.,!?()])'		,     r' \1'		,     __snake_case      )
      a		:   Tuple	  =	re.sub('(\')'		,     r' \1 '		,     __snake_case      )
      a		:   Optional[int]	  =	re.sub(r'\s{2,}'		,     ' '		,     __snake_case      )
      if "\n" in token:
        a		:   Optional[int]	  =	token.replace('\n'		,     ' __newln__'      )

      a		:   int	  =	token.split(' '      )
      a		:   Dict	  =	[]
      for token in tokens:
        if not len(__snake_case      ):
          continue

        a		:   str	  =	token.lower()
        a		:   Dict	  =	tuple(__snake_case      )
        a		:   int	  =	tuple(list(word[:-1]      ) + [word[-1] + '</w>']      )
        a		:   List[Any]	  =	get_pairs(__snake_case      )

        if not pairs:
          words.append(__snake_case      )
          continue

        while True:
          a		:   str	  =	min(__snake_case		,     key=lambda __snake_case      : self.bpe_ranks.get(__snake_case		,     float('inf'      )      )      )
          if bigram not in self.bpe_ranks:
            break
          a  ,      a		:   Dict	  =	bigram
          a		:   int	  =	[]
          a		:   Dict	  =	0

          while i < len(__snake_case      ):
            try:
              a		:   List[Any]	  =	word.index(__snake_case		,     __snake_case      )
              new_word.extend(word[i:j]      )
              a		:   Any	  =	j
            except ValueError:
              new_word.extend(word[i:]      )
              break

            if word[i] == first and i < len(__snake_case      ) - 1 and word[i + 1] == second:
              new_word.append(first + second      )
              i += 2
            else:
              new_word.append(word[i]      )
              i += 1
          a		:   Tuple	  =	tuple(__snake_case      )
          a		:   List[Any]	  =	new_word
          if len(__snake_case      ) == 1:
            break
          else:
            a		:   Tuple	  =	get_pairs(__snake_case      )
        a		:   int	  =	'@@ '.join(__snake_case      )
        a		:   Union[str, Any]	  =	word[:-4]

        a		:   Any	  =	word
        words.append(__snake_case      )
      return " ".join(__snake_case      )







    def      lowercase_			( self					:    Union[str, Any]		,     __snake_case					:    str      ):
      a		:   Optional[Any]	  =	[]

      a		:   str	  =	re.findall(r'\S+\n?'		,     __snake_case      )

      for token in words:
        split_tokens.extend(list(self.bpe(__snake_case      ).split(' '      )      )      )
      return split_tokens







    def      lowercase_			( self					:    int		,     __snake_case					:    str      ):
      a		:   List[Any]	  =	token.lower()
      return self.encoder.get(__snake_case		,     self.encoder.get(self.unk_token      )      )







    def      lowercase_			( self					:    Any		,     __snake_case					:    int      ):
      return self.decoder.get(__snake_case		,     self.unk_token      )







    def      lowercase_			( self					:    str		,     __snake_case					:    List[str]      ):
      a		:   Optional[int]	  =	' '.join(__snake_case      ).replace('@@ '		,     ''      ).strip()
      return out_string







    def      lowercase_			( self					:    Any		,     __snake_case					:    str		,     __snake_case					:    Optional[str] = None      ):
      if not os.path.isdir(__snake_case      ):
        logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
        return
      a		:   List[str]	  =	os.path.join(
          __snake_case		,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
      a		:   Union[str, Any]	  =	os.path.join(
          __snake_case		,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

      with open(__snake_case		,     'w'		,     encoding='utf-8'      ) as f:
        f.write(json.dumps(self.encoder		,     indent=2		,     sort_keys=__snake_case		,     ensure_ascii=__snake_case      ) + '\n'      )

      a		:   Any	  =	0
      with open(__snake_case		,     'w'		,     encoding='utf-8'      ) as writer:
        writer.write('#version: 0.2\n'      )
        for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,     key=lambda __snake_case      : kv[1]      ):
          if index != token_index:
            logger.warning(
                F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                ' Please check that the tokenizer is not corrupted!'      )
            a		:   Union[str, Any]	  =	token_index
          writer.write(' '.join(__snake_case      ) + '\n'      )
          index += 1

      return vocab_file, merge_file




'''simple docstring'''






import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 				a__(   lowerCamelCase__						,					unittest.TestCase      ):
    lowercase__					=       CodeGenTokenizer
    lowercase__					=       CodeGenTokenizerFast
    lowercase__					=       True
    lowercase__					=       {"""add_prefix_space""": True}
    lowercase__					=       False







    def      lowercase_			( self					:    List[str]      ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      a		:   Any	  =	[
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
          '<|endoftext|>',
      ]
      a		:   Dict	  =	dict(zip(__snake_case		,     range(len(__snake_case      )      )      )      )
      a		:   str	  =	['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      a		:   List[str]	  =	{'unk_token': '<unk>'}

      a		:   List[str]	  =	os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['vocab_file']      )
      a		:   Dict	  =	os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['merges_file']      )
      with open(self.vocab_file		,     'w'		,     encoding='utf-8'      ) as fp:
        fp.write(json.dumps(__snake_case      ) + '\n'      )
      with open(self.merges_file		,     'w'		,     encoding='utf-8'      ) as fp:
        fp.write('\n'.join(__snake_case      )      )







    def      lowercase_			( self					:    Tuple		,     **__snake_case					:    Dict      ):
      kwargs.update(self.special_tokens_map      )
      return CodeGenTokenizer.from_pretrained(self.tmpdirname		,     **__snake_case      )







    def      lowercase_			( self					:    List[Any]		,     **__snake_case					:    List[str]      ):
      kwargs.update(self.special_tokens_map      )
      return CodeGenTokenizerFast.from_pretrained(self.tmpdirname		,     **__snake_case      )







    def      lowercase_			( self					:    Optional[int]		,     __snake_case					:    List[Any]      ):
      a		:   Tuple	  =	'lower newer'
      a		:   str	  =	'lower newer'
      return input_text, output_text







    def      lowercase_			( self					:    str      ):
      a		:   List[Any]	  =	CodeGenTokenizer(self.vocab_file		,     self.merges_file		,     **self.special_tokens_map      )
      a		:   Dict	  =	'lower newer'
      a		:   int	  =	['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
      a		:   List[str]	  =	tokenizer.tokenize(__snake_case		,     add_prefix_space=__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      a		:   Dict	  =	tokens + [tokenizer.unk_token]
      a		:   int	  =	[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case      )		,     __snake_case      )







    def      lowercase_			( self					:    List[Any]      ):
      if not self.test_rust_tokenizer:
        return

      a		:   Optional[int]	  =	self.get_tokenizer()
      a		:   Tuple	  =	self.get_rust_tokenizer(add_prefix_space=__snake_case      )

      a		:   List[str]	  =	'lower newer'

      # Testing tokenization
      a		:   Optional[int]	  =	tokenizer.tokenize(__snake_case		,     add_prefix_space=__snake_case      )
      a		:   Optional[Any]	  =	rust_tokenizer.tokenize(__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing conversion to ids without special tokens
      a		:   Tuple	  =	tokenizer.encode(__snake_case		,     add_special_tokens=__snake_case		,     add_prefix_space=__snake_case      )
      a		:   str	  =	rust_tokenizer.encode(__snake_case		,     add_special_tokens=__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing conversion to ids with special tokens
      a		:   Optional[int]	  =	self.get_rust_tokenizer(add_prefix_space=__snake_case      )
      a		:   Optional[int]	  =	tokenizer.encode(__snake_case		,     add_prefix_space=__snake_case      )
      a		:   Dict	  =	rust_tokenizer.encode(__snake_case      )
      self.assertListEqual(__snake_case		,     __snake_case      )

      # Testing the unknown token
      a		:   Any	  =	tokens + [rust_tokenizer.unk_token]
      a		:   List[Any]	  =	[14, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__snake_case      )		,     __snake_case      )







    def      lowercase_			( self					:    List[str]		,     *__snake_case					:    int		,     **__snake_case					:    str      ):
      # It's very difficult to mix/test pretokenization with byte-level
      # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
      pass







    def      lowercase_			( self					:    List[str]		,     __snake_case					:    str=15      ):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""      ):
          a		:   List[Any]	  =	self.rust_tokenizer_class.from_pretrained(__snake_case		,     **__snake_case      )

          # Simple input
          a		:   Dict	  =	'This is a simple input'
          a		:   int	  =	['This is a simple input 1', 'This is a simple input 2']
          a		:   Dict	  =	('This is a simple input', 'This is a pair')
          a		:   Dict	  =	[
              ('This is a simple input 1', 'This is a simple input 2'),
              ('This is a simple pair 1', 'This is a simple pair 2'),
          ]

          # Simple input tests
          self.assertRaises(__snake_case		,     tokenizer_r.encode		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Simple input
          self.assertRaises(__snake_case		,     tokenizer_r.encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Simple input
          self.assertRaises(
              __snake_case		,     tokenizer_r.batch_encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'		,     )

          # Pair input
          self.assertRaises(__snake_case		,     tokenizer_r.encode		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Pair input
          self.assertRaises(__snake_case		,     tokenizer_r.encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'      )

          # Pair input
          self.assertRaises(
              __snake_case		,     tokenizer_r.batch_encode_plus		,     __snake_case		,     max_length=__snake_case		,     padding='max_length'		,     )







    def      lowercase_			( self					:    Optional[Any]      ):
      a		:   Any	  =	CodeGenTokenizer.from_pretrained(self.tmpdirname		,     pad_token='<pad>'      )

      # Simple input
      a		:   Union[str, Any]	  =	'This is a simple input'
      a		:   Dict	  =	['This is a simple input looooooooong', 'This is a simple input']
      a		:   int	  =	('This is a simple input', 'This is a pair')
      a		:   List[Any]	  =	[
          ('This is a simple input loooooong', 'This is a simple input'),
          ('This is a simple pair loooooong', 'This is a simple pair'),
      ]

      a		:   Optional[int]	  =	tokenizer.pad_token_id

      a		:   List[Any]	  =	tokenizer(__snake_case		,     padding='max_length'		,     max_length=30		,     return_tensors='np'      )
      a		:   Union[str, Any]	  =	tokenizer(__snake_case		,     padding=__snake_case		,     truncate=__snake_case		,     return_tensors='np'      )
      a		:   Optional[Any]	  =	tokenizer(*__snake_case		,     padding='max_length'		,     max_length=60		,     return_tensors='np'      )
      a		:   List[Any]	  =	tokenizer(__snake_case		,     padding=__snake_case		,     truncate=__snake_case		,     return_tensors='np'      )

      # s
      # test single string max_length padding
      self.assertEqual(out_s['input_ids'].shape[-1]		,     30      )
      self.assertTrue(pad_token_id in out_s['input_ids']      )
      self.assertTrue(0 in out_s['attention_mask']      )

      # s2
      # test automatic padding
      self.assertEqual(out_sa['input_ids'].shape[-1]		,     33      )
      # long slice doesn't have padding
      self.assertFalse(pad_token_id in out_sa['input_ids'][0]      )
      self.assertFalse(0 in out_sa['attention_mask'][0]      )
      # short slice does have padding
      self.assertTrue(pad_token_id in out_sa['input_ids'][1]      )
      self.assertTrue(0 in out_sa['attention_mask'][1]      )

      # p
      # test single pair max_length padding
      self.assertEqual(out_p['input_ids'].shape[-1]		,     60      )
      self.assertTrue(pad_token_id in out_p['input_ids']      )
      self.assertTrue(0 in out_p['attention_mask']      )

      # p2
      # test automatic padding pair
      self.assertEqual(out_pa['input_ids'].shape[-1]		,     52      )
      # long slice pair doesn't have padding
      self.assertFalse(pad_token_id in out_pa['input_ids'][0]      )
      self.assertFalse(0 in out_pa['attention_mask'][0]      )
      # short slice pair does have padding
      self.assertTrue(pad_token_id in out_pa['input_ids'][1]      )
      self.assertTrue(0 in out_pa['attention_mask'][1]      )







    def      lowercase_			( self					:    Optional[int]      ):
      a		:   int	  =	'$$$'
      a		:   Dict	  =	CodeGenTokenizer.from_pretrained(self.tmpdirname		,     bos_token=__snake_case		,     add_bos_token=__snake_case      )

      a		:   int	  =	'This is a simple input'
      a		:   Tuple	  =	['This is a simple input 1', 'This is a simple input 2']

      a		:   Any	  =	tokenizer.bos_token_id

      a		:   Union[str, Any]	  =	tokenizer(__snake_case      )
      a		:   Dict	  =	tokenizer(__snake_case      )

      self.assertEqual(out_s.input_ids[0]		,     __snake_case      )
      self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids      )      )

      a		:   Optional[Any]	  =	tokenizer.decode(out_s.input_ids      )
      a		:   Optional[Any]	  =	tokenizer.batch_decode(out_sa.input_ids      )

      self.assertEqual(decode_s.split()[0]		,     __snake_case      )
      self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa      )      )







    @slow
    def      lowercase_			( self					:    List[Any]      ):
      a		:   Tuple	  =	CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono'      )

      a		:   Union[str, Any]	  =	'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
      a		:   Optional[Any]	  =	'\nif len_a > len_b:      result = a\nelse:      result = b'

      a		:   Any	  =	tokenizer.encode(__snake_case      )
      a		:   Union[str, Any]	  =	['^#', re.escape('<|endoftext|>'      ), '^\'\'\'', '^"""', '\n\n\n']
      a		:   List[str]	  =	tokenizer.decode(__snake_case		,     truncate_before_pattern=__snake_case      )
      self.assertEqual(__snake_case		,     __snake_case      )







    def      lowercase_			( self					:    Any      ):
      pass